AI-first — The role expects you to build mainly by directing AI tools, and is judged on what you ship rather than on manual coding depth.
We are seeking a Copilot Agent & SDLC Context Platform Engineer who will design and build the technical foundation for GitHub Copilot Custom Agents that support developers in achieving SDLC, compliance, security, and quality standards.
This role focuses on constructing the data systems, context layers, and workflows that allow Copilot agents in VS Code to operate with a deep understanding of our engineering environment.
You will build and maintain MCP servers, lightweight RAG pipelines, and structured developer context databases that provide agents with rich knowledge about code, requirements, architecture, traceability, and compliance.
You will further integrate these systems into the SDLC through automations, events, orchestrations, and workflow logic, enabling full visibility and actionable insights across engineering and tooling ecosystems.
This is not an AI model development position.
This is a systems, data, and workflow engineering role focused on assembling the context and automation backbone required for intelligent Copilot agents to significantly enhance developer productivity and SDLC adherence.
✅ Key Responsibilities
Copilot Agent Development
Build and maintain GitHub Copilot Custom Agents, including:
custom instructions/personas
skills, tools, hooks, event handlers
integrations with internal APIs, databases, and SDLC systems
agent workflows to support SDLC, compliance, security scanning, and quality gates
MCP & Context Infrastructure
Develop Model Context Protocol (MCP) servers to expose structured engineering data and insights into Copilot:
metadata from codebases
requirements and test links
security signals
architecture dependencies
SDLC rules and compliance data
Establish structured developer context databases for the agent environment:
SQL repositories
graph databases
metadata catalogs
vector indexes for lightweight RAG (pragmatic, not research-heavy)
Workflow & SDLC Automation
Implement automated workflows around:
DevSecOps
code quality and static analysis
architecture governance
security/compliance scanning
dependency and traceability validation
Integrate agent capabilities into:
VS Code (primary environment)
GitHub repositories and PR flows
CI/CD pipelines
engineering and security tools
✅ Required Experience
Core Skills
10+ years in data engineering, workflow automation, or platform engineering
Strong experience building data-centric engineering or DevOps platforms
Proven track record delivering production-grade pipelines, APIs, and context systems
Hands-on experience with:
GitHub Copilot (including Custom Agents, Skills, and enterprise workflows)
VS Code extension environment or deep platform-level knowledge
workflow orchestration (Airflow, Prefect, Dagster, Step Functions)
SQL, data modeling, and medallion/layered architectures
Python/Node/Scala for tooling, pipelines, MCP servers, and integrations
Terraform / CloudFormation / Pulumi
Preferred Skills
Experience building MCP servers (Node, Python, Go)
Experience with:
OpenSearch / Elasticsearch
Neo4j / Amazon Neptune
Vector search frameworks
Background in automotive, regulated software, or SDLC frameworks:
ISO 26262
ASPICE
MISRA
ISO 21434
✅ Professional Skills
Ability to communicate technical decisions, complexity, and trade-offs
Strong reasoning about data organization, developer workflows, and compliance logic
Ability to operate independently in ambiguous environments
Collaboration with DevOps, security, compliance, and engineering teams
Ownership mindset: build, test, validate, iterate